CSCI 374 Schedule

Week Date Topic Reading Assignment
1 Aug 28 Hello, CSCI374! Questionnaire
Due Sept 6
Aug 30 Introduction to Machine Learning and Data Mining Ch. 1
Sept 1 Introduction to Machine Learning and Data Mining Ch. 1
2 Sept 4 No class (Labor Day)
Sept 6 Background (Supervised Learning) Ch. 2
Sept 8 k-Nearest Neighbor (Similarity Learning) Chp 8.2.3
3 Sept 11 Evaluating Classifiers (Supervised Learning) Ch. 19.4, 19.6-19.9 HW1: kNN
Due Sept 18
Sept 13 Clustering (Similarity Learning) Ch. 7.1-7.4, 7.8-7.9
Sept 15 Recommendation Systems (Similarity Learning)
4 Sept 18 Recommendation Systems (Similarity Learning)
Sept 20 Bottlenecks and Learning HW2: Collaborative Filtering
Due Sept 27 28
Sept 22 ID3 (Decision Trees) Ch. 9.1-9.2
5 Sept 25 ID3 (Decision Trees) Ch. 9.3-9.4
Sept 27 C4.5 (Decision Trees)
Sept 29 C4.5 (Decision Trees) HW3: ID3
Due Oct 6
6 Oct 2 C4.5 (Decision Trees)
Oct 4 CART (Decision Trees)
Oct 6 Background to Probability (Bayesian Learning) 3.1
7 Oct 9 Bayes Rule and Naive Bayes (Bayesian Learning) 3.2, 14.3 HW4: C4.5
Due Oct 2325
Oct 11 Naive Bayes (Bayesian Learning)
Oct 13 HW4 Workshop Day
Fall Break
8 Oct 23 C4.5 Review
Oct 25 Text Classification and Naive Bayes Exercise
Oct 27 Association Rule Mining 3.5 HW5: Naive Bayes
Due Nov 1
9 Oct 30 Linear Regression 4.6
Nov 1 Gradient Descent 10.6
Nov 3 Logistic Regression (Neurons)
10 Nov 6 Neural Networks
Nov 8 Backpropagation
Nov 10 Tensorflow HW6: Neural Networks
Due Nov 21
11 Nov 13 Tensorflow and Grid Search
Nov 15 k-fold Cross Validation, Supercomputers, and GPUs
Nov 17 Group Projects
12 Nov 20 Convolutional Neural Networks See slides for links
Nov 22 Deep Reinforcement Learning See slides for links
Nov 24 No Class (Thanksgiving)
13 Nov 27 Genetic Algorithms, Autoencoders, Dimensionality Reduction
Nov 29 Sequential Learning
Dec 1 Recurrent Neural Networks
14 Dec 4 Final Presentation and Paper Discussion
Dec 6 Group Project Demos
Dec 8 Group Project Demos